Neural Units with Higher-Order Synaptic Operations for Robotic Image Processing Applications.
Zeng-Guang HouKi-Young SongMadan M. GuptaMin TanPublished in: Soft Comput. (2007)
Keyphrases
- higher order
- image processing
- hebbian learning
- learning rules
- spiking neural networks
- neuron model
- natural images
- network architecture
- processing units
- spiking neurons
- high order
- image enhancement
- feed forward
- action potentials
- pattern recognition
- neural network
- machine vision
- pairwise
- computer vision
- primary visual cortex
- biologically inspired
- image processing operations
- digital image processing
- markov random field
- image segmentation
- image processing algorithms
- biologically plausible
- image denoising
- single neuron
- denoising
- color images
- multiscale
- object manipulation
- real time
- synaptic plasticity
- partial differential equations
- remote sensing
- image analysis
- fuzzy cognitive maps
- low order
- robotic systems
- conditional random fields
- computer graphics
- image compression
- edge detection
- synaptic weights
- high resolution